Generated by Cython 3.0.0
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Click on a line that starts with a "+" to see the C code that Cython generated for it.
Raw output: clm.c
+0001: # cython: c_string_type=unicode
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0002: # cython: c_string_encoding=utf8
0003:
+0004: import ctypes
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+0005: from functools import singledispatch, partial
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+0006: import math
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+0007: import random
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+0008: import subprocess
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+0009: import tempfile
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+0010: import time
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+0011: import types
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0012: import cython
0013: from cython.cimports.cpython.mem import PyMem_Malloc, PyMem_Realloc, PyMem_Free
0014: from cython cimport view
+0015: import numpy as np
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0016: cimport numpy as np
+0017: import numpy.typing as npt
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0018: cimport pysndlib.cclm as cclm
0019: cimport pysndlib.csndlib as csndlib
+0020: from pysndlib.sndlib import Sample, Header
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+0021: import sys
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+0022: import os
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0023:
0024:
0025:
0026:
+0027: np.import_array()
__pyx_t_44 = __pyx_f_5numpy_import_array(); if (unlikely(__pyx_t_44 == ((int)-1))) __PYX_ERR(0, 27, __pyx_L1_error)
0028:
0029:
0030:
0031: # --------------- clm enums ---------------- #
+0032: cpdef enum Interp:
enum __pyx_t_8pysndlib_3clm_Interp {
__pyx_e_8pysndlib_3clm_NONE,
__pyx_e_8pysndlib_3clm_LINEAR,
__pyx_e_8pysndlib_3clm_SINUSOIDAL,
__pyx_e_8pysndlib_3clm_ALL_PASS,
__pyx_e_8pysndlib_3clm_LAGRANGE,
__pyx_e_8pysndlib_3clm_BEZIER,
__pyx_e_8pysndlib_3clm_HERMITE
};
0033: """
0034: various interpolation types
0035: """
0036: NONE, LINEAR,SINUSOIDAL, ALL_PASS, LAGRANGE, BEZIER, HERMITE
0037:
+0038: cpdef enum Window:
enum __pyx_t_8pysndlib_3clm_Window {
__pyx_e_8pysndlib_3clm_RECTANGULAR,
__pyx_e_8pysndlib_3clm_HANN,
__pyx_e_8pysndlib_3clm_WELCH,
__pyx_e_8pysndlib_3clm_PARZEN,
__pyx_e_8pysndlib_3clm_BARTLETT,
__pyx_e_8pysndlib_3clm_HAMMING,
__pyx_e_8pysndlib_3clm_BLACKMAN2,
__pyx_e_8pysndlib_3clm_BLACKMAN3,
__pyx_e_8pysndlib_3clm_BLACKMAN4,
__pyx_e_8pysndlib_3clm_EXPONENTIAL,
__pyx_e_8pysndlib_3clm_RIEMANN,
__pyx_e_8pysndlib_3clm_KAISER,
__pyx_e_8pysndlib_3clm_CAUCHY,
__pyx_e_8pysndlib_3clm_POISSON,
__pyx_e_8pysndlib_3clm_GAUSSIAN,
__pyx_e_8pysndlib_3clm_TUKEY,
__pyx_e_8pysndlib_3clm_DOLPH_CHEBYSHEV,
__pyx_e_8pysndlib_3clm_HANN_POISSON,
__pyx_e_8pysndlib_3clm_CONNES,
__pyx_e_8pysndlib_3clm_SAMARAKI,
__pyx_e_8pysndlib_3clm_ULTRASPHERICAL,
__pyx_e_8pysndlib_3clm_BARTLETT_HANN,
__pyx_e_8pysndlib_3clm_BOHMAN,
__pyx_e_8pysndlib_3clm_FLAT_TOP,
__pyx_e_8pysndlib_3clm_BLACKMAN5,
__pyx_e_8pysndlib_3clm_BLACKMAN6,
__pyx_e_8pysndlib_3clm_BLACKMAN7,
__pyx_e_8pysndlib_3clm_BLACKMAN8,
__pyx_e_8pysndlib_3clm_BLACKMAN9,
__pyx_e_8pysndlib_3clm_BLACKMAN10,
__pyx_e_8pysndlib_3clm_RV2,
__pyx_e_8pysndlib_3clm_RV3,
__pyx_e_8pysndlib_3clm_RV4,
__pyx_e_8pysndlib_3clm_MLT_SINE,
__pyx_e_8pysndlib_3clm_PAPOULIS,
__pyx_e_8pysndlib_3clm_DPSS,
__pyx_e_8pysndlib_3clm_SINC
};
0039: """
0040: many useful windows
0041: """
0042: RECTANGULAR, HANN, WELCH, PARZEN, BARTLETT, HAMMING, BLACKMAN2, BLACKMAN3, BLACKMAN4, EXPONENTIAL, RIEMANN, KAISER, CAUCHY, POISSON, GAUSSIAN, TUKEY, DOLPH_CHEBYSHEV, HANN_POISSON, CONNES, SAMARAKI, ULTRASPHERICAL, BARTLETT_HANN, BOHMAN, FLAT_TOP, BLACKMAN5, BLACKMAN6, BLACKMAN7, BLACKMAN8, BLACKMAN9, BLACKMAN10, RV2, RV3, RV4, MLT_SINE, PAPOULIS, DPSS, SINC,
0043:
+0044: cpdef enum Spectrum:
enum __pyx_t_8pysndlib_3clm_Spectrum {
__pyx_e_8pysndlib_3clm_IN_DB,
__pyx_e_8pysndlib_3clm_NORMALIZED,
__pyx_e_8pysndlib_3clm_RAW
};
0045: """
0046: types of normalizations when using the spectrum function. The results are in dB if IN_DB, or linear and normalized to 1.0 NORMALIZED, or linear unnormalized RAW
0047: """
0048: IN_DB, NORMALIZED, RAW
0049:
+0050: cpdef enum Polynomial:
enum __pyx_t_8pysndlib_3clm_Polynomial {
__pyx_e_8pysndlib_3clm_EITHER_KIND,
__pyx_e_8pysndlib_3clm_FIRST_KIND,
__pyx_e_8pysndlib_3clm_SECOND_KIND,
__pyx_e_8pysndlib_3clm_BOTH_KINDS
};
0051: """
0052: used for polynomial based gens
0053: """
0054: EITHER_KIND, FIRST_KIND, SECOND_KIND, BOTH_KINDS
0055:
0056:
0057:
0058: # --------------- function types for ctypes ---------------- #
+0059: INPUTCALLBACK = ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_void_p, ctypes.c_int)
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+0060: EDITCALLBACK = ctypes.CFUNCTYPE(ctypes.c_int, ctypes.c_void_p)
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0159:
0160:
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0163:
0164:
0165:
0166: # todo add mus_set_xcoeff and mus_set_ycoeff
0167:
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0169:
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mus_float_t *_xcoeffs_ptr;
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mus_float_t *_pv_phases_ptr;
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0171: """
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0631: """
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0637: :param dur: duration in samples to read
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0701:
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0704: """
0705: context manager which handles creating output and other options
0706:
0707: :param output: Can be a filename string or np.ndarray
0708: :param channels: number of channels \in main output
0709: :param srate: output sampling rate
0710: :param sample_type: output sample data type
0711: :param header_type: output header type
0712: :param comment: any comment to store \in the header
0713: :param verbose: if True, print out some info (doesn't do anything now)
0714: :param reverb: reverb instrument
0715: :param reverb_data: arguments passed to the reverb (dictionary)
0716: :param reverb_channels: chans \in the reverb intermediate file
0717: :param revfile: reverb intermediate output file name
0718: :param continue_old_file: if True, continue a previous computation
0719: :param statistics: if True, print info at end of with-sound (compile time, maxamps)
0720: :param scaled_to: if a number, scale the output to peak at that amp
0721: :param scaled_by: is a number, scale output by that amp
0722: :param play: if True, play the sound automatically
0723: :param finalize: a function to call on exit from the context. should be a function that takes one argument, the name of the sound file or the ndarray
0724: used as output
0725: """
0726:
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PyObject *__pyx_args, PyObject *__pyx_kwds
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PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds
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PyObject *__pyx_args, PyObject *__pyx_kwds
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0937: else:
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1904: """
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1914: """
1915: value of envelope env at x.
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1942: """
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1944:
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1954:
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1956:
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1958:
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1960:
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1965:
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1967: """
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1969:
1970: :param gen: env gen
1971: :param fm: change frequency of repetition
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1973: """
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1978:
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1989:
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+1994: size: Optional[int]=CLM.table_size,
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1996: """
1997: return a new table_lookup generator. the default table size is 512; use size to set some other
1998: size, or pass your own list/array as the 'wave'.
1999:
2000: :param frequency: frequency of gen \in hz
2001: :param initial_phase: initial phase of gen \in radians
2002: :param wave: np.ndarray if provided is waveform
2003: :param size: if no wave provided, this will allocate a table of size
2004: :param interp_type: type of interpolation used
2005: :return: table_lookup gen
2006: :rtype: mus_any
2007: """
2008:
+2009: check_range('frequency', frequency, 0.0, get_srate() / 2)
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2010:
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if (__pyx_t_7) {
/* … */
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2013:
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if (__pyx_t_7) {
/* … */
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2016:
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2018:
+2019: cdef double [:] wave_view = wave
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2020:
2021:
2022: #print(frequency, initial_phase, wave, size, interp_type)
+2023: gen = mus_any.from_ptr(cclm.mus_make_table_lookup(frequency, initial_phase, &wave_view[0], size, interp_type))
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2026:
+2027: cpdef cython.double table_lookup(gen: mus_any, fm: Optional[float]=None):
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2835: """
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2845: """
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2847:
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2849: :rtype: bool
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2852:
2853: # make def for *args. are there other ways
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2855: """
2856: return a new two_pole filter: y(n) = a0 x(n) - b1 y(n-1) - b2 y(n-2).
2857:
2858: :param frequency: Center frequency \in Hz
2859: :param radius: Radius of filter. Refers to the unit circle, so it should be between 0.0 and (less than) 1.0.
2860: :param kwargs: If frequency and radius not provided, these should be keyword arguments 'a0', 'b1', 'b2'
2861: :return: two_pole gen
2862: :rtype: mus_any
2863: """
2864:
+2865: if kwargs:
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+2866: if 'a0' in kwargs and 'b1' in kwargs and 'b2' in kwargs:
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+2867: return mus_any.from_ptr(cclm.mus_make_two_pole(kwargs.get('a0'), kwargs.get('b1'), kwargs.get('b2')))
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2868: else:
+2869: raise KeyError(f'Filter needs values for a0, b1, b2')
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2878: """
2879: two pole filter of input.
2880:
2881: :param gen: two_pole gen
2882: :param insig: input
2883: :rtype: float
2884:
2885: """
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2889: """
2890: returns True if gen is a two_pole.
2891:
2892: :param gen: gen
2893: :rtype: bool
2894: """
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2896:
2897: # make def for *args. are there other ways
+2898: def make_two_zero(frequency: [Optional]=None, radius: [Optional]=None, **kwargs):
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2899: """
2900: return a new two_zero filter: y(n) = a0 x(n) + a1 x(n-1) + a2 x(n-2).
2901:
2902: :param frequency: Center frequency \in Hz
2903: :param radius: Radius of filter. Refers to the unit circle, so it should be between 0.0 and (less than) 1.0.
2904: :param kwargs: If frequency and radius not provided, these should be keyword arguments 'a0', 'a1', 'a2'
2905: :return: two_zero gen
2906: :rtype: mus_any
2907: """
2908:
+2909: if kwargs:
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__pyx_t_2 = (__Pyx_PyDict_ContainsTF(__pyx_n_s_a0, __pyx_v_kwargs, Py_EQ)); if (unlikely((__pyx_t_2 < 0))) __PYX_ERR(0, 2910, __pyx_L1_error) if (__pyx_t_2) { } else { __pyx_t_1 = __pyx_t_2; goto __pyx_L5_bool_binop_done; } __pyx_t_2 = (__Pyx_PyDict_ContainsTF(__pyx_n_s_a1, __pyx_v_kwargs, Py_EQ)); if (unlikely((__pyx_t_2 < 0))) __PYX_ERR(0, 2910, __pyx_L1_error) if (__pyx_t_2) { } else { __pyx_t_1 = __pyx_t_2; goto __pyx_L5_bool_binop_done; } __pyx_t_2 = (__Pyx_PyDict_ContainsTF(__pyx_n_s_a1, __pyx_v_kwargs, Py_EQ)); if (unlikely((__pyx_t_2 < 0))) __PYX_ERR(0, 2910, __pyx_L1_error) __pyx_t_1 = __pyx_t_2; __pyx_L5_bool_binop_done:; if (likely(__pyx_t_1)) { /* … */ }
+2911: return mus_any.from_ptr(cclm.mus_make_two_zero(kwargs.get('a0'), kwargs.get('a1'), kwargs.get('a2')))
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2912: else:
+2913: raise KeyError(f'Filter needs values for a0, a1, a2')
/*else*/ {
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2914:
2915: else:
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/* … */
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+2917: return mus_any.from_ptr(cclm.mus_make_two_zero_from_frequency_and_radius(frequency, radius))
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2918: else:
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2920:
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3650:
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3654:
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/* … */
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/* … */
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3954: """
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3966:
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3970: """
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4214: """
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4216:
4217: :param gen: gen
4218: :rtype: bool
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4221:
4222:
4223: # ---------------- src ---------------- #
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4225: """
4226: return a new sampling-rate conversion generator (using 'warped sinc interpolation'). 'srate' is the
4227: ratio between the new rate and the old. 'width' is the sine width (effectively the steepness of the
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4229:
4230: :param inp: gen or function to read from. if a callback, the function takes 1 input, the direction and should return read value
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4232: :param width: how many samples to convolve with sinc function
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4234: :rtype: mus_any
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4236:
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4239:
4240: cdef cclm.input_cb cy_inp_f_ptr
4241:
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+4243: res = mus_any.from_ptr(cclm.mus_make_src(<cclm.input_cb>input_callback_func, srate, width, <void*>((<mus_any>inp)._ptr)))
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4246:
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4290: """
4291: return a new convolution generator which convolves its input with the impulse response 'filter'.
4292:
4293: :param inp: gen or function to read from
4294: :param filt: np.array of filter
4295: :param fft_size: fft size used \in the convolution
4296: :param filter_size: how much of filter to use. if None use whole filter
4297: :return: convolve gen
4298: :rtype: mus_any
4299: """
4300:
4301: cdef cclm.input_cb cy_input_f_ptr
4302:
4303: cdef double [:] filt_view
4304:
4305:
+4306: if filter_size is None:
__pyx_t_1 = (__pyx_v_filter_size == Py_None);
if (__pyx_t_1) {
/* … */
}
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4308:
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4310:
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__pyx_t_2 = PyObject_RichCompare(__pyx_v_fft_size, __pyx_int_0, Py_LT); __Pyx_XGOTREF(__pyx_t_2); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 4311, __pyx_L1_error) __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_2); if (unlikely((__pyx_t_6 < 0))) __PYX_ERR(0, 4311, __pyx_L1_error) __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; if (!__pyx_t_6) { } else { __pyx_t_1 = __pyx_t_6; goto __pyx_L5_bool_binop_done; } __pyx_t_6 = (__Pyx_PyInt_BoolEqObjC(__pyx_v_fft_size, __pyx_int_0, 0, 0)); if (unlikely((__pyx_t_6 < 0))) __PYX_ERR(0, 4311, __pyx_L1_error) __pyx_t_1 = __pyx_t_6; __pyx_L5_bool_binop_done:; if (unlikely(__pyx_t_1)) { /* … */ }
+4312: raise ValueError(f'fft_size must be a positive number greater than 0 not {fft_size}')
__pyx_t_2 = __Pyx_PyObject_FormatSimple(__pyx_v_fft_size, __pyx_empty_unicode); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 4312, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = __Pyx_PyUnicode_Concat(__pyx_kp_u_fft_size_must_be_a_positive_numb, __pyx_t_2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4312, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_t_2 = __Pyx_PyObject_CallOneArg(__pyx_builtin_ValueError, __pyx_t_3); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 4312, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_Raise(__pyx_t_2, 0, 0, 0); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __PYX_ERR(0, 4312, __pyx_L1_error)
4313:
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__pyx_t_2 = __Pyx_PyInt_From_int64_t(mus_max_malloc()); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 4314, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = PyObject_RichCompare(__pyx_v_fft_size, __pyx_t_2, Py_GT); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4314, __pyx_L1_error) __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely((__pyx_t_1 < 0))) __PYX_ERR(0, 4314, __pyx_L1_error) __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (unlikely(__pyx_t_1)) { /* … */ }
+4315: raise ValueError(f'fft_size too large. cannot allocate {fft_size} size fft')
__pyx_t_3 = PyTuple_New(3); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4315, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __pyx_t_7 = 0; __pyx_t_8 = 127; __Pyx_INCREF(__pyx_kp_u_fft_size_too_large_cannot_alloca); __pyx_t_7 += 36; __Pyx_GIVEREF(__pyx_kp_u_fft_size_too_large_cannot_alloca); PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_kp_u_fft_size_too_large_cannot_alloca); __pyx_t_2 = __Pyx_PyObject_FormatSimple(__pyx_v_fft_size, __pyx_empty_unicode); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 4315, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_2); __pyx_t_8 = (__Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_2) > __pyx_t_8) ? __Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_2) : __pyx_t_8; __pyx_t_7 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_2); __Pyx_GIVEREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_t_2); __pyx_t_2 = 0; __Pyx_INCREF(__pyx_kp_u_size_fft); __pyx_t_7 += 9; __Pyx_GIVEREF(__pyx_kp_u_size_fft); PyTuple_SET_ITEM(__pyx_t_3, 2, __pyx_kp_u_size_fft); __pyx_t_2 = __Pyx_PyUnicode_Join(__pyx_t_3, 3, __pyx_t_7, __pyx_t_8); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 4315, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_builtin_ValueError, __pyx_t_2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4315, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_Raise(__pyx_t_3, 0, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(0, 4315, __pyx_L1_error)
4316:
+4317: if is_power_of_2(filter_size):
__pyx_t_3 = __pyx_f_8pysndlib_3clm_is_power_of_2(__pyx_v_filter_size, 0); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4317, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely((__pyx_t_1 < 0))) __PYX_ERR(0, 4317, __pyx_L1_error) __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (__pyx_t_1) { /* … */ goto __pyx_L8; }
+4318: fft_len = filter_size * 2
__pyx_t_3 = __Pyx_PyInt_MultiplyObjC(__pyx_v_filter_size, __pyx_int_2, 2, 0, 0); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4318, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF_SET(__pyx_v_fft_len, __pyx_t_3); __pyx_t_3 = 0;
4319: else :
+4320: fft_len = next_power_of_2(filter_size)
/*else*/ {
__pyx_t_3 = __pyx_f_8pysndlib_3clm_next_power_of_2(__pyx_v_filter_size, 0); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4320, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF_SET(__pyx_v_fft_len, __pyx_t_3);
__pyx_t_3 = 0;
}
__pyx_L8:;
4321:
+4322: if fft_size < fft_len:
__pyx_t_3 = PyObject_RichCompare(__pyx_v_fft_size, __pyx_v_fft_len, Py_LT); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4322, __pyx_L1_error) __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely((__pyx_t_1 < 0))) __PYX_ERR(0, 4322, __pyx_L1_error) __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (__pyx_t_1) { /* … */ }
+4323: fft_size = fft_len
__Pyx_INCREF(__pyx_v_fft_len); __Pyx_DECREF_SET(__pyx_v_fft_size, __pyx_v_fft_len);
4324:
+4325: if isinstance(filt, list):
__pyx_t_1 = PyList_Check(__pyx_v_filt);
if (__pyx_t_1) {
/* … */
}
+4326: filt = np.array(filt)
__Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_np); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 4326, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_2); __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_array); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 4326, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_t_2 = NULL; __pyx_t_5 = 0; if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_4))) { __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_4); if (likely(__pyx_t_2)) { PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4); __Pyx_INCREF(__pyx_t_2); __Pyx_INCREF(function); __Pyx_DECREF_SET(__pyx_t_4, function); __pyx_t_5 = 1; } } { PyObject *__pyx_callargs[2] = {__pyx_t_2, __pyx_v_filt}; __pyx_t_3 = __Pyx_PyObject_FastCall(__pyx_t_4, __pyx_callargs+1-__pyx_t_5, 1+__pyx_t_5); __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4326, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; } __Pyx_DECREF_SET(__pyx_v_filt, __pyx_t_3); __pyx_t_3 = 0;
4327:
+4328: check_ndim(filt)
__Pyx_GetModuleGlobalName(__pyx_t_4, __pyx_n_s_check_ndim); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 4328, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_4); __pyx_t_2 = NULL; __pyx_t_5 = 0; if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_4))) { __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_4); if (likely(__pyx_t_2)) { PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4); __Pyx_INCREF(__pyx_t_2); __Pyx_INCREF(function); __Pyx_DECREF_SET(__pyx_t_4, function); __pyx_t_5 = 1; } } { PyObject *__pyx_callargs[2] = {__pyx_t_2, __pyx_v_filt}; __pyx_t_3 = __Pyx_PyObject_FastCall(__pyx_t_4, __pyx_callargs+1-__pyx_t_5, 1+__pyx_t_5); __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4328, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; } __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
4329:
+4330: filt_view = filt
__pyx_t_9 = __Pyx_PyObject_to_MemoryviewSlice_ds_double(__pyx_v_filt, PyBUF_WRITABLE); if (unlikely(!__pyx_t_9.memview)) __PYX_ERR(0, 4330, __pyx_L1_error) __pyx_v_filt_view = __pyx_t_9; __pyx_t_9.memview = NULL; __pyx_t_9.data = NULL;
4331:
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+4333: res = mus_any.from_ptr(cclm.mus_make_convolve(<cclm.input_cb>input_callback_func, &filt_view[0], fft_size, filter_size, <void*>(<mus_any>inp)._ptr))
__pyx_t_10 = 0;
__pyx_t_5 = -1;
if (__pyx_t_10 < 0) {
__pyx_t_10 += __pyx_v_filt_view.shape[0];
if (unlikely(__pyx_t_10 < 0)) __pyx_t_5 = 0;
} else if (unlikely(__pyx_t_10 >= __pyx_v_filt_view.shape[0])) __pyx_t_5 = 0;
if (unlikely(__pyx_t_5 != -1)) {
__Pyx_RaiseBufferIndexError(__pyx_t_5);
__PYX_ERR(0, 4333, __pyx_L1_error)
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__pyx_t_11 = __Pyx_PyInt_As_int64_t(__pyx_v_fft_size); if (unlikely((__pyx_t_11 == ((mus_long_t)-1)) && PyErr_Occurred())) __PYX_ERR(0, 4333, __pyx_L1_error)
__pyx_t_12 = __Pyx_PyInt_As_int64_t(__pyx_v_filter_size); if (unlikely((__pyx_t_12 == ((mus_long_t)-1)) && PyErr_Occurred())) __PYX_ERR(0, 4333, __pyx_L1_error)
__pyx_t_3 = ((PyObject *)__pyx_vtabptr_8pysndlib_3clm_mus_any->from_ptr(mus_make_convolve(((input_cb)__pyx_f_8pysndlib_3clm_input_callback_func), (&(*((double *) ( /* dim=0 */ (__pyx_v_filt_view.data + __pyx_t_10 * __pyx_v_filt_view.strides[0]) )))), __pyx_t_11, __pyx_t_12, ((void *)((struct __pyx_obj_8pysndlib_3clm_mus_any *)__pyx_cur_scope->__pyx_v_inp)->_ptr)), NULL)); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4333, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_3);
__pyx_v_res = ((struct __pyx_obj_8pysndlib_3clm_mus_any *)__pyx_t_3);
__pyx_t_3 = 0;
+4334: res._inputcallback = <cclm.input_cb>input_callback_func
__pyx_v_res->_inputcallback = ((input_cb)__pyx_f_8pysndlib_3clm_input_callback_func);
+4335: res.cache_append(filt)
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__Pyx_XDECREF(__pyx_r); __Pyx_INCREF((PyObject *)__pyx_v_res); __pyx_r = ((PyObject *)__pyx_v_res); goto __pyx_L0;
4337:
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4384: """
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4442: """
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4447:
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4456: """
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4458:
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4460: :rtype: bool
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4463:
4464: #--------------- phase-vocoder ----------------#
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};
4466: fft_size: Optional[int]=512,
4467: overlap: Optional[int]=4,
4468: interp: Optional[int]=128,
4469: pitch: Optional[float]=1.0,
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values[5] = ((PyObject *)((PyObject *)Py_None));
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CYTHON_FALLTHROUGH;
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CYTHON_FALLTHROUGH;
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CYTHON_FALLTHROUGH;
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PyObject* value = __Pyx_GetKwValue_FASTCALL(__pyx_kwds, __pyx_kwvalues, __pyx_n_s_fft_size);
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if (kw_args > 0) {
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__Pyx_RaiseArgtupleInvalid("make_phase_vocoder", 0, 1, 8, __pyx_nargs); __PYX_ERR(0, 4465, __pyx_L3_error)
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4473:
4474: """
4475: return a new phase-vocoder generator; input is the input function (it can be set at run-time),
4476: analyze, edit, and synthesize are either None or functions that replace the default innards of the
4477: generator, fft_size, overlap and interp set the fft_size, the amount of overlap between ffts, and the
4478: time between new analysis calls. 'analyze', if given, takes 2 args, the generator and the input
4479: function; if it returns True, the default analysis code is also called. 'edit', if given, takes 1 arg,
4480: the generator; if it returns True, the default edit code is run. 'synthesize' is a function of 1 arg,
4481: the generator; it is called to get the current vocoder output.
4482:
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4489: :param edit: if used, overrides default. functions of one argument, the phase_vocoder mus_any. change amplitudes and phases
4490: :param synthesize: if used, overrides default. unctions of one argument, the phase_vocoder mus_any.
4491: :return: phase_vocoder gen
4492:
4493: """
4494:
4495: cdef cclm.input_cb cy_inp_f_ptr
4496: cdef cclm.edit_cb cy_edit_f_ptr
4497: cdef cclm.analyze_cb cy_analyze_f_ptr
4498: cdef cclm.synthesize_cb cy_synthesize_f_ptr
4499:
+4500: if fft_size <= 1:
__pyx_t_1 = PyObject_RichCompare(__pyx_v_fft_size, __pyx_int_1, Py_LE); __Pyx_XGOTREF(__pyx_t_1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 4500, __pyx_L1_error) __pyx_t_2 = __Pyx_PyObject_IsTrue(__pyx_t_1); if (unlikely((__pyx_t_2 < 0))) __PYX_ERR(0, 4500, __pyx_L1_error) __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; if (unlikely(__pyx_t_2)) { /* … */ }
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__pyx_t_1 = __Pyx_PyObject_FormatSimple(__pyx_v_fft_size, __pyx_empty_unicode); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 4501, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __pyx_t_3 = __Pyx_PyUnicode_Concat(__pyx_kp_u_fft_size_must_be_a_positive_numb_2, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4501, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_builtin_ValueError, __pyx_t_3); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 4501, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_Raise(__pyx_t_1, 0, 0, 0); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __PYX_ERR(0, 4501, __pyx_L1_error)
4502:
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__pyx_t_1 = __Pyx_PyInt_From_int64_t(mus_max_malloc()); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 4503, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __pyx_t_3 = PyObject_RichCompare(__pyx_v_fft_size, __pyx_t_1, Py_GT); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4503, __pyx_L1_error) __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_2 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely((__pyx_t_2 < 0))) __PYX_ERR(0, 4503, __pyx_L1_error) __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (unlikely(__pyx_t_2)) { /* … */ }
+4504: raise ValueError(f'fft_size too large. cannot allocate {fft_size} size fft')
__pyx_t_3 = PyTuple_New(3); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4504, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __pyx_t_4 = 0; __pyx_t_5 = 127; __Pyx_INCREF(__pyx_kp_u_fft_size_too_large_cannot_alloca); __pyx_t_4 += 36; __Pyx_GIVEREF(__pyx_kp_u_fft_size_too_large_cannot_alloca); PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_kp_u_fft_size_too_large_cannot_alloca); __pyx_t_1 = __Pyx_PyObject_FormatSimple(__pyx_v_fft_size, __pyx_empty_unicode); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 4504, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __pyx_t_5 = (__Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_1) > __pyx_t_5) ? __Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_1) : __pyx_t_5; __pyx_t_4 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_1); __Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_t_1); __pyx_t_1 = 0; __Pyx_INCREF(__pyx_kp_u_size_fft); __pyx_t_4 += 9; __Pyx_GIVEREF(__pyx_kp_u_size_fft); PyTuple_SET_ITEM(__pyx_t_3, 2, __pyx_kp_u_size_fft); __pyx_t_1 = __Pyx_PyUnicode_Join(__pyx_t_3, 3, __pyx_t_4, __pyx_t_5); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 4504, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_builtin_ValueError, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4504, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_Raise(__pyx_t_3, 0, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(0, 4504, __pyx_L1_error)
4505:
+4506: if not is_power_of_2(fft_size):
__pyx_t_3 = __pyx_f_8pysndlib_3clm_is_power_of_2(__pyx_v_fft_size, 0); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4506, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __pyx_t_2 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely((__pyx_t_2 < 0))) __PYX_ERR(0, 4506, __pyx_L1_error) __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_6 = (!__pyx_t_2); if (unlikely(__pyx_t_6)) { /* … */ }
+4507: raise ValueError(f'fft_size must be power of 2 not {fft_size}')
__pyx_t_3 = __Pyx_PyObject_FormatSimple(__pyx_v_fft_size, __pyx_empty_unicode); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4507, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __pyx_t_1 = __Pyx_PyUnicode_Concat(__pyx_kp_u_fft_size_must_be_power_of_2_not, __pyx_t_3); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 4507, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_builtin_ValueError, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4507, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_Raise(__pyx_t_3, 0, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(0, 4507, __pyx_L1_error)
4508:
+4509: if(isinstance(inp, mus_any)):
__pyx_t_3 = __pyx_cur_scope->__pyx_v_inp; __Pyx_INCREF(__pyx_t_3); __pyx_t_6 = __Pyx_TypeCheck(__pyx_t_3, __pyx_ptype_8pysndlib_3clm_mus_any); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (__pyx_t_6) { /* … */ goto __pyx_L6; }
+4510: res = mus_any.from_ptr(cclm.mus_make_phase_vocoder(<cclm.input_cb>input_callback_func, fft_size, overlap, interp, pitch, NULL, NULL, NULL, <void*>(<mus_any>inp)._ptr))
__pyx_t_7 = __Pyx_PyInt_As_int(__pyx_v_fft_size); if (unlikely((__pyx_t_7 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 4510, __pyx_L1_error) __pyx_t_8 = __Pyx_PyInt_As_int(__pyx_v_overlap); if (unlikely((__pyx_t_8 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 4510, __pyx_L1_error) __pyx_t_9 = __Pyx_PyInt_As_int(__pyx_v_interp); if (unlikely((__pyx_t_9 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 4510, __pyx_L1_error) __pyx_t_10 = __pyx_PyFloat_AsDouble(__pyx_v_pitch); if (unlikely((__pyx_t_10 == ((mus_float_t)-1)) && PyErr_Occurred())) __PYX_ERR(0, 4510, __pyx_L1_error) __pyx_t_3 = ((PyObject *)__pyx_vtabptr_8pysndlib_3clm_mus_any->from_ptr(mus_make_phase_vocoder(((input_cb)__pyx_f_8pysndlib_3clm_input_callback_func), __pyx_t_7, __pyx_t_8, __pyx_t_9, __pyx_t_10, NULL, NULL, NULL, ((void *)((struct __pyx_obj_8pysndlib_3clm_mus_any *)__pyx_cur_scope->__pyx_v_inp)->_ptr)), NULL)); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4510, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __Pyx_GIVEREF(__pyx_t_3); __pyx_cur_scope->__pyx_v_res = ((struct __pyx_obj_8pysndlib_3clm_mus_any *)__pyx_t_3); __pyx_t_3 = 0;
+4511: res._inputcallback = <cclm.input_cb>input_callback_func
__pyx_cur_scope->__pyx_v_res->_inputcallback = ((input_cb)__pyx_f_8pysndlib_3clm_input_callback_func);
+4512: res.cache_append(inp)
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case 0: break; default: goto __pyx_L5_argtuple_error; } } __pyx_v_degree = values[0]; __pyx_v_distance = values[1]; __pyx_v_reverb = values[2]; __pyx_v_output = values[3]; __pyx_v_revout = values[4]; __pyx_v_channels = values[5]; __pyx_v_reverb_channels = values[6]; __pyx_v_interp_type = values[7]; } goto __pyx_L4_argument_unpacking_done; __pyx_L5_argtuple_error:; __Pyx_RaiseArgtupleInvalid("make_locsig", 0, 0, 8, __pyx_nargs); __PYX_ERR(0, 4749, __pyx_L3_error) __pyx_L3_error:; __Pyx_AddTraceback("pysndlib.clm.make_locsig", __pyx_clineno, __pyx_lineno, __pyx_filename); __Pyx_RefNannyFinishContext(); return NULL; __pyx_L4_argument_unpacking_done:; __pyx_r = __pyx_pf_8pysndlib_3clm_524make_locsig(__pyx_self, __pyx_v_degree, __pyx_v_distance, __pyx_v_reverb, __pyx_v_output, __pyx_v_revout, __pyx_v_channels, __pyx_v_reverb_channels, __pyx_v_interp_type);
+4756: interp_type: Optional[Interp]=Interp.LINEAR):
__pyx_t_41 = __Pyx_Enum_Interp_to_py(__pyx_e_8pysndlib_3clm_LINEAR); if (unlikely(!__pyx_t_41)) __PYX_ERR(0, 4756, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_41); __pyx_k__58 = __pyx_t_41; __Pyx_GIVEREF(__pyx_t_41); __pyx_t_41 = 0; /* … */ __pyx_t_41 = __Pyx_Enum_Interp_to_py(__pyx_e_8pysndlib_3clm_LINEAR); if (unlikely(!__pyx_t_41)) __PYX_ERR(0, 4756, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_41);
4757:
4758: """
4759: return a new generator for signal placement \in n channels. channel 0 corresponds to 0 degrees.
4760:
4761: :param degree: degree to place sound
4762: :param distance: distance, 1.0 or greater
4763: :param reverb: reverb amount
4764: :param output: output to write 'dry' signal to. can be an appropriately shaped np.ndarray or sample2file
4765: :param revout: output to write 'wet' signal to. can be an appropriately shaped np.ndarray or sample2file
4766: :param channels: number of main channels
4767: :param reverb_channels: number of channels for reverb
4768: :param interp_type: interpolation of position. can be Interp.LINEAR, Interp.SINUSOIDAL
4769: """
4770:
4771: cdef cclm.detour_cb cy_detour_f_ptr
4772:
+4773: if output is None:
__pyx_t_1 = (__pyx_v_output == Py_None);
if (__pyx_t_1) {
/* … */
}
+4774: output = CLM.output #todo : check if this exists
__Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_CLM); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 4774, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_output); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4774, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_DECREF_SET(__pyx_v_output, __pyx_t_3); __pyx_t_3 = 0;
4775:
+4776: if revout is None:
__pyx_t_1 = (__pyx_v_revout == Py_None);
if (__pyx_t_1) {
/* … */
}
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__Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_CLM); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4777, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_reverb); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 4777, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_1 = (__pyx_t_2 != Py_None); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; if (__pyx_t_1) { /* … */ goto __pyx_L5; }
+4778: revout = CLM.reverb
__Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_CLM); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 4778, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_reverb); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4778, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_DECREF_SET(__pyx_v_revout, __pyx_t_3); __pyx_t_3 = 0;
4779: else:
+4780: revout = None #this generates and error but still works
/*else*/ {
__Pyx_INCREF(Py_None);
__Pyx_DECREF_SET(__pyx_v_revout, Py_None);
}
__pyx_L5:;
4781:
+4782: if channels is None:
__pyx_t_1 = (__pyx_v_channels == Py_None);
if (__pyx_t_1) {
/* … */
}
+4783: channels = clm_channels(output)
__Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_clm_channels); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 4783, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_2); __pyx_t_4 = NULL; __pyx_t_5 = 0; if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_2))) { __pyx_t_4 = PyMethod_GET_SELF(__pyx_t_2); if (likely(__pyx_t_4)) { PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); __Pyx_INCREF(__pyx_t_4); __Pyx_INCREF(function); __Pyx_DECREF_SET(__pyx_t_2, function); __pyx_t_5 = 1; } } { PyObject *__pyx_callargs[2] = {__pyx_t_4, __pyx_v_output}; __pyx_t_3 = __Pyx_PyObject_FastCall(__pyx_t_2, __pyx_callargs+1-__pyx_t_5, 1+__pyx_t_5); __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0; if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4783, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; } __Pyx_DECREF_SET(__pyx_v_channels, __pyx_t_3); __pyx_t_3 = 0;
4784:
+4785: if reverb_channels is None:
__pyx_t_1 = (__pyx_v_reverb_channels == Py_None);
if (__pyx_t_1) {
/* … */
}
+4786: if revout is None:
__pyx_t_1 = (__pyx_v_revout == Py_None);
if (__pyx_t_1) {
/* … */
goto __pyx_L8;
}
+4787: reverb_channels = 0
__Pyx_INCREF(__pyx_int_0); __Pyx_DECREF_SET(__pyx_v_reverb_channels, __pyx_int_0);
4788: else:
+4789: reverb_channels = clm_channels(revout)
/*else*/ {
__Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_clm_channels); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 4789, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_2);
__pyx_t_4 = NULL;
__pyx_t_5 = 0;
if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_2))) {
__pyx_t_4 = PyMethod_GET_SELF(__pyx_t_2);
if (likely(__pyx_t_4)) {
PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2);
__Pyx_INCREF(__pyx_t_4);
__Pyx_INCREF(function);
__Pyx_DECREF_SET(__pyx_t_2, function);
__pyx_t_5 = 1;
}
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{
PyObject *__pyx_callargs[2] = {__pyx_t_4, __pyx_v_revout};
__pyx_t_3 = __Pyx_PyObject_FastCall(__pyx_t_2, __pyx_callargs+1-__pyx_t_5, 1+__pyx_t_5);
__Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4789, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
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__Pyx_DECREF_SET(__pyx_v_reverb_channels, __pyx_t_3);
__pyx_t_3 = 0;
}
__pyx_L8:;
4790:
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__pyx_t_1 = __Pyx_TypeCheck(__pyx_v_output, __pyx_ptype_8pysndlib_3clm_mus_any);
if (__pyx_t_1) {
/* … */
}
4792:
+4793: out = <mus_any>output
__pyx_t_3 = __pyx_v_output;
__Pyx_INCREF(__pyx_t_3);
__pyx_v_out = ((struct __pyx_obj_8pysndlib_3clm_mus_any *)__pyx_t_3);
__pyx_t_3 = 0;
+4794: rout = <mus_any>revout
__pyx_t_3 = __pyx_v_revout;
__Pyx_INCREF(__pyx_t_3);
__pyx_v_rout = ((struct __pyx_obj_8pysndlib_3clm_mus_any *)__pyx_t_3);
__pyx_t_3 = 0;
+4795: if revout is not None:
__pyx_t_1 = (__pyx_v_revout != Py_None);
if (__pyx_t_1) {
/* … */
goto __pyx_L10;
}
+4796: res = mus_any.from_ptr(cclm.mus_make_locsig(degree, distance, reverb, channels, out._ptr, reverb_channels, rout._ptr, interp_type))
__pyx_t_6 = __pyx_PyFloat_AsDouble(__pyx_v_degree); if (unlikely((__pyx_t_6 == ((mus_float_t)-1)) && PyErr_Occurred())) __PYX_ERR(0, 4796, __pyx_L1_error) __pyx_t_7 = __pyx_PyFloat_AsDouble(__pyx_v_distance); if (unlikely((__pyx_t_7 == ((mus_float_t)-1)) && PyErr_Occurred())) __PYX_ERR(0, 4796, __pyx_L1_error) __pyx_t_8 = __pyx_PyFloat_AsDouble(__pyx_v_reverb); if (unlikely((__pyx_t_8 == ((mus_float_t)-1)) && PyErr_Occurred())) __PYX_ERR(0, 4796, __pyx_L1_error) __pyx_t_5 = __Pyx_PyInt_As_int(__pyx_v_channels); if (unlikely((__pyx_t_5 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 4796, __pyx_L1_error) __pyx_t_9 = __Pyx_PyInt_As_int(__pyx_v_reverb_channels); if (unlikely((__pyx_t_9 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 4796, __pyx_L1_error) __pyx_t_10 = ((mus_interp_t)__Pyx_PyInt_As_mus_interp_t(__pyx_v_interp_type)); if (unlikely(PyErr_Occurred())) __PYX_ERR(0, 4796, __pyx_L1_error) __pyx_t_3 = ((PyObject *)__pyx_vtabptr_8pysndlib_3clm_mus_any->from_ptr(mus_make_locsig(__pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_5, __pyx_v_out->_ptr, __pyx_t_9, __pyx_v_rout->_ptr, __pyx_t_10), NULL)); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4796, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __pyx_v_res = ((struct __pyx_obj_8pysndlib_3clm_mus_any *)__pyx_t_3); __pyx_t_3 = 0;
4797: else:
+4798: res = mus_any.from_ptr(cclm.mus_make_locsig(degree, distance, reverb, channels, out._ptr, reverb_channels, NULL , interp_type))
/*else*/ {
__pyx_t_8 = __pyx_PyFloat_AsDouble(__pyx_v_degree); if (unlikely((__pyx_t_8 == ((mus_float_t)-1)) && PyErr_Occurred())) __PYX_ERR(0, 4798, __pyx_L1_error)
__pyx_t_7 = __pyx_PyFloat_AsDouble(__pyx_v_distance); if (unlikely((__pyx_t_7 == ((mus_float_t)-1)) && PyErr_Occurred())) __PYX_ERR(0, 4798, __pyx_L1_error)
__pyx_t_6 = __pyx_PyFloat_AsDouble(__pyx_v_reverb); if (unlikely((__pyx_t_6 == ((mus_float_t)-1)) && PyErr_Occurred())) __PYX_ERR(0, 4798, __pyx_L1_error)
__pyx_t_9 = __Pyx_PyInt_As_int(__pyx_v_channels); if (unlikely((__pyx_t_9 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 4798, __pyx_L1_error)
__pyx_t_5 = __Pyx_PyInt_As_int(__pyx_v_reverb_channels); if (unlikely((__pyx_t_5 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 4798, __pyx_L1_error)
__pyx_t_10 = ((mus_interp_t)__Pyx_PyInt_As_mus_interp_t(__pyx_v_interp_type)); if (unlikely(PyErr_Occurred())) __PYX_ERR(0, 4798, __pyx_L1_error)
__pyx_t_3 = ((PyObject *)__pyx_vtabptr_8pysndlib_3clm_mus_any->from_ptr(mus_make_locsig(__pyx_t_8, __pyx_t_7, __pyx_t_6, __pyx_t_9, __pyx_v_out->_ptr, __pyx_t_5, NULL, __pyx_t_10), NULL)); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4798, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_3);
__pyx_v_res = ((struct __pyx_obj_8pysndlib_3clm_mus_any *)__pyx_t_3);
__pyx_t_3 = 0;
}
__pyx_L10:;
+4799: return res
__Pyx_XDECREF((PyObject *)__pyx_r); __Pyx_INCREF((PyObject *)__pyx_v_res); __pyx_r = __pyx_v_res; goto __pyx_L0;
4800:
4801: # todo: what if revout is not an iterable? while possible not going to deal with it right now :)
+4802: elif is_list_or_ndarray(output):
__pyx_t_3 = __pyx_f_8pysndlib_3clm_is_list_or_ndarray(__pyx_v_output, 0); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4802, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely((__pyx_t_1 < 0))) __PYX_ERR(0, 4802, __pyx_L1_error) __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (likely(__pyx_t_1)) { /* … */ }
+4803: if reverb_channels is None:
__pyx_t_1 = (__pyx_v_reverb_channels == Py_None);
if (__pyx_t_1) {
/* … */
}
+4804: reverb_channels = 0
__Pyx_INCREF(__pyx_int_0); __Pyx_DECREF_SET(__pyx_v_reverb_channels, __pyx_int_0);
4805:
+4806: res = mus_any.from_ptr(cclm.mus_make_locsig(degree, distance, reverb, channels, NULL, reverb_channels, NULL, interp_type))
__pyx_t_6 = __pyx_PyFloat_AsDouble(__pyx_v_degree); if (unlikely((__pyx_t_6 == ((mus_float_t)-1)) && PyErr_Occurred())) __PYX_ERR(0, 4806, __pyx_L1_error) __pyx_t_7 = __pyx_PyFloat_AsDouble(__pyx_v_distance); if (unlikely((__pyx_t_7 == ((mus_float_t)-1)) && PyErr_Occurred())) __PYX_ERR(0, 4806, __pyx_L1_error) __pyx_t_8 = __pyx_PyFloat_AsDouble(__pyx_v_reverb); if (unlikely((__pyx_t_8 == ((mus_float_t)-1)) && PyErr_Occurred())) __PYX_ERR(0, 4806, __pyx_L1_error) __pyx_t_5 = __Pyx_PyInt_As_int(__pyx_v_channels); if (unlikely((__pyx_t_5 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 4806, __pyx_L1_error) __pyx_t_9 = __Pyx_PyInt_As_int(__pyx_v_reverb_channels); if (unlikely((__pyx_t_9 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 4806, __pyx_L1_error) __pyx_t_10 = ((mus_interp_t)__Pyx_PyInt_As_mus_interp_t(__pyx_v_interp_type)); if (unlikely(PyErr_Occurred())) __PYX_ERR(0, 4806, __pyx_L1_error) __pyx_t_3 = ((PyObject *)__pyx_vtabptr_8pysndlib_3clm_mus_any->from_ptr(mus_make_locsig(__pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_5, NULL, __pyx_t_9, NULL, __pyx_t_10), NULL)); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4806, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __pyx_v_res = ((struct __pyx_obj_8pysndlib_3clm_mus_any *)__pyx_t_3); __pyx_t_3 = 0;
+4807: cclm.mus_locsig_set_detour(res._ptr, <cclm.detour_cb>locsig_detour_callback_func)
mus_locsig_set_detour(__pyx_v_res->_ptr, ((detour_cb)__pyx_f_8pysndlib_3clm_locsig_detour_callback_func));
4808:
+4809: return res
__Pyx_XDECREF((PyObject *)__pyx_r); __Pyx_INCREF((PyObject *)__pyx_v_res); __pyx_r = __pyx_v_res; goto __pyx_L0;
4810:
4811: else:
+4812: raise TypeError(f"output needs to be a clm gen or np.array not a {type(output)}")
/*else*/ {
__pyx_t_3 = __Pyx_PyObject_FormatSimple(((PyObject *)Py_TYPE(__pyx_v_output)), __pyx_empty_unicode); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4812, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_2 = __Pyx_PyUnicode_Concat(__pyx_kp_u_output_needs_to_be_a_clm_gen_or, __pyx_t_3); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 4812, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_builtin_TypeError, __pyx_t_2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4812, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_3);
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__Pyx_Raise(__pyx_t_3, 0, 0, 0);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__PYX_ERR(0, 4812, __pyx_L1_error)
}
4813:
+4814: cpdef cython.double locsig(gen: mus_any, loc: int, val: cython.double):
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#if CYTHON_METH_FASTCALL
PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds
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PyObject *__pyx_args, PyObject *__pyx_kwds
#endif
); /*proto*/
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PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds
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PyObject *__pyx_args, PyObject *__pyx_kwds
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struct __pyx_opt_args_8pysndlib_3clm_convolve_files {
int __pyx_n;
PyObject *maxamp;
PyObject *outputfile;
PyObject *sample_type;
PyObject *header_type;
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4896: """
4897: convolve-files handles a very common special case: convolve two files, then normalize the result to some maxamp.
4898:
4899: :param file1: first file
4900: :param file2: second file
4901: :param maxamp: amp to scale to
4902: :param outputfile: output file
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4904: :param header_type: header of sample type to use. defaults to clm.header_type
4905: :return: output file
4906: :rtype: str
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4919:
4920:
4921: #########################################
4922: # basic file reading/writing to/from nympy arrays
4923: # note all of this assumes numpy dtype is np.double
4924: # also assumes shape is (chan, length)
4925: # a mono file that is 8000 samples long should
4926: # be a numpy array created with something like
4927: # arr = np.zeroes((1,8000), dtype=np.double)
4928: # librosa follows this convention
4929: # todo : look at allowing something like np.zeroes((8000), dtype=np.double)
4930: # to just be treated as mono sound buffer
4931: # the python soundfile library does this differently
4932: # and would use
4933: # arr = np.zeros((8000,1), dtype=np.double))
4934: # this seems less intuitive to me
4935: # very issue to translate with simple np.transpose()
4936:
4937:
4938: # cpdef sndinfo(filename):
4939: # """returns a dictionary of info about a sound file including write date (data), sample rate (srate),
4940: # channels (chans), length in samples (samples), length in second (length), comment (comment), and loop information (loopinfo)"""
4941: # date = csndlib.mus_sound_write_date(filename)
4942: # srate = csndlib.mus_sound_srate(filename)
4943: # chans = csndlib.mus_sound_chans(filename)
4944: # samples = csndlib.mus_sound_samples(filename)
4945: # comment = csndlib.mus_sound_comment(filename)
4946: # length = samples / (chans * srate)
4947: #
4948: # header_type = header(mus_sound_header_type(filename))
4949: # sample_type = sample(mus_sound_sample_type(filename))
4950: #
4951: # loop_info = mus_sound_loop_info(filename)
4952: # if loop_info:
4953: # loop_modes = [loop_info[6], loop_info[7]]
4954: # loop_starts = [loop_info[0], loop_info[2]]
4955: # loop_ends = [loop_info[1], loop_info[3]]
4956: # base_note = loop_info[4]
4957: # base_detune = loop_info[5]
4958: #
4959: # loop_info = {'sustain_start' : loop_starts[0], 'sustain_end' : loop_ends[0],
4960: # 'release_start' : loop_starts[2], 'release_end' : loop_ends[1],
4961: # 'base_note' : base_note, 'base_detune' : base_detune,
4962: # 'sustain_mode' : loop_modes[0], 'release_mode' : loop_modes[1]}
4963: #
4964: # info = {'date' : time.localtime(date), 'srate' : srate, 'chans' : chans, 'samples' : samples,
4965: # 'comment' : comment, 'length' : length, 'header_type' : header_type, 'sample_type' : sample_type,
4966: # 'loop_info' : loop_info}
4967: # return info
4968:
4969: # def sound_loop_info(filename):
4970: # """returns a dictionary of info about a sound file including write date (data), sample rate (srate),
4971: # channels (chans), length in samples (samples), length in second (length), comment (comment), and loop information (loopinfo)"""
4972: #
4973: # loop_info = sndlib.mus_sound_loop_info(filename)
4974: # if loop_info:
4975: # loop_modes = [loop_info[6], loop_info[7]]
4976: # loop_starts = [loop_info[0], loop_info[2]]
4977: # loop_ends = [loop_info[1], loop_info[3]]
4978: # base_note = loop_info[4]
4979: # base_detune = loop_info[5]
4980: #
4981: # loop_info = {'sustain_start' : loop_starts[0], 'sustain_end' : loop_ends[0],
4982: # 'release_start' : loop_starts[2], 'release_end' : loop_ends[1],
4983: # 'base_note' : base_note, 'base_detune' : base_detune,
4984: # 'sustain_mode' : loop_modes[0], 'release_mode' : loop_modes[1]}
4985: # return info
4986: #
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